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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
16 years 1 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
176
Voted
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
15 years 10 months ago
A hybridized genetic parallel programming based logic circuit synthesizer
Genetic Parallel Programming (GPP) is a novel Genetic Programming paradigm. Based on the GPP paradigm and a local search operator - FlowMap, a logic circuit synthesizing system in...
Wai Shing Lau, Kin-Hong Lee, Kwong-Sak Leung
200
Voted
GECCO
2006
Springer
215views Optimization» more  GECCO 2006»
15 years 10 months ago
A multi-chromosome approach to standard and embedded cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in the for...
James Alfred Walker, Julian Francis Miller, Rachel...
187
Voted
GECCO
2000
Springer
122views Optimization» more  GECCO 2000»
15 years 10 months ago
Genetic Programming with Statically Scoped Local Variables
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
Evan Kirshenbaum
198
Voted
GECCO
2008
Springer
154views Optimization» more  GECCO 2008»
15 years 8 months ago
Automated shape composition based on cell biology and distributed genetic programming
Motivated by the ability of living cells to form specific shapes and structures, we present a computational approach using distributed genetic programming to discover cell-cell i...
Linge Bai, Manolya Eyiyurekli, David E. Breen